| Title |
Analytical sociology and computational social science
|
|---|---|
| Published in |
Journal of Computational Social Science, November 2017
|
| DOI | 10.1007/s42001-017-0006-5 |
| Pubmed ID | |
| Authors |
Marc Keuschnigg, Niclas Lovsjö, Peter Hedström |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 14% |
| Sweden | 4 | 11% |
| Italy | 3 | 9% |
| Canada | 2 | 6% |
| France | 2 | 6% |
| United Kingdom | 2 | 6% |
| Japan | 2 | 6% |
| Costa Rica | 1 | 3% |
| Spain | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 49% |
| Scientists | 17 | 49% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 22% |
| Student > Master | 24 | 16% |
| Researcher | 22 | 15% |
| Student > Doctoral Student | 7 | 5% |
| Student > Bachelor | 7 | 5% |
| Other | 28 | 19% |
| Unknown | 28 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 56 | 38% |
| Computer Science | 18 | 12% |
| Economics, Econometrics and Finance | 5 | 3% |
| Environmental Science | 5 | 3% |
| Engineering | 4 | 3% |
| Other | 25 | 17% |
| Unknown | 35 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2023.
All research outputs
#1,495,908
of 25,646,963 outputs
Outputs from Journal of Computational Social Science
#25
of 147 outputs
Outputs of similar age
#32,856
of 447,338 outputs
Outputs of similar age from Journal of Computational Social Science
#3
of 11 outputs
Altmetric has tracked 25,646,963 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 447,338 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.